Austin R. Benson

Netw. Sci., March, 2024

2023

Augmented Sparsifiers for Generalized Hypergraph Cuts.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

2022

Combinatorial Measures of Higher-order Homophily for Group Interaction Datasets.

[BibT_eX]

[DOI]

Dataset, September, 2022

A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2022

Hypergraph Cuts with General Splitting Functions.

[BibT_eX]

[DOI]

SIAM Rev., 2022

Hypergraph patterns and collaboration structure.

[BibT_eX]

[DOI]

Jonas L. Juul

CoRR, 2022

Diverse and Experienced Group Discovery via Hypergraph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Nonlinear Feature Diffusion on Hypergraphs.

[BibT_eX]

[DOI]

Konstantin Prokopchik

Francesco Tudisco

Proceedings of the International Conference on Machine Learning, 2022

2021

Communication-Efficient Distributed Eigenspace Estimation.

[BibT_eX]

[DOI]

Vasileios Charisopoulos

SIAM J. Math. Data Sci., 2021

Higher Order Information Identifies Tie Strength.

[BibT_eX]

[DOI]

CoRR, 2021

Edge Proposal Sets for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Belief Propagation Networks.

[BibT_eX]

[DOI]

CoRR, 2021

A nonlinear diffusion method for semi-supervised learning on hypergraphs.

[BibT_eX]

[DOI]

Francesco Tudisco

Konstantin Prokopchik

CoRR, 2021

Higher-order Homophily is Combinatorially Impossible.

[BibT_eX]

[DOI]

CoRR, 2021

Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data.

[BibT_eX]

[DOI]

Desmond J. Higham

CoRR, 2021

Generative hypergraph clustering: from blockmodels to modularity.

[BibT_eX]

[DOI]

Philip S. Chodrow

CoRR, 2021

Modelling and analysis of tagging networks in Stack Exchange communities.

[BibT_eX]

[DOI]

Xiang Fu

Shangdi Yu

J. Complex Networks, 2021

Nonlinear Higher-Order Label Spreading.

[BibT_eX]

[DOI]

Francesco Tudisco

Konstantin Prokopchik

Proceedings of the WWW '21: The Web Conference 2021, 2021

Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis.

[BibT_eX]

[DOI]

Katherine Van Koevering

Proceedings of the WWW '21: The Web Conference 2021, 2021

Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Generalized Mean Densest Subgraph Problem.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Choice Set Confounding in Discrete Choice.

[BibT_eX]

[DOI]

Johan Ugander

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Interpretable Feature Context Effects in Discrete Choice.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform.

[BibT_eX]

[DOI]

Derek Lim

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Combining Label Propagation and Simple Models out-performs Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neighborhood and PageRank methods for pairwise link prediction.

[BibT_eX]

[DOI]

Huda Nassar

Soc. Netw. Anal. Min., 2020

Network Interpolation.

[BibT_eX]

[DOI]

Thomas Reeves

SIAM J. Math. Data Sci., 2020

Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian.

[BibT_eX]

[DOI]

SIAM Rev., 2020

Measuring directed triadic closure with closure coefficients.

[BibT_eX]

[DOI]

Johan Ugander

Netw. Sci., 2020

Over-parametrized neural networks as under-determined linear systems.

[BibT_eX]

[DOI]

Alex Townsend

CoRR, 2020

A simple bipartite graph projection model for clustering in networks.

[BibT_eX]

[DOI]

Paul Liu

CoRR, 2020

Fair Clustering for Diverse and Experienced Groups.

[BibT_eX]

[DOI]

CoRR, 2020

Set-Structured Latent Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Localized Flow-Based Clustering in Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2020

Outcome Correlation in Graph Neural Network Regression.

[BibT_eX]

[DOI]

CoRR, 2020

Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text.

[BibT_eX]

[DOI]

Katherine Van Koevering

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Clustering in graphs and hypergraphs with categorical edge labels.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Retrieving Top Weighted Triangles in Graphs.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Better Set Representations For Relational Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entrywise convergence of iterative methods for eigenproblems.

[BibT_eX]

[DOI]

Vasileios Charisopoulos

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Minimizing Localized Ratio Cut Objectives in Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Residual Correlation in Graph Neural Network Regression.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Choice Set Optimization Under Discrete Choice Models of Group Decisions.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Three Hypergraph Eigenvector Centralities.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

Computing Tensor Z-Eigenvectors with Dynamical Systems.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2019

Hypergraph clustering with categorical edge labels.

[BibT_eX]

[DOI]

CoRR, 2019

Incrementally Updated Spectral Embeddings.

[BibT_eX]

[DOI]

Vasileios Charisopoulos

CoRR, 2019

Planted Hitting Set Recovery in Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling and Analysis of Tagging Networks in Stack Exchange Communities.

[BibT_eX]

[DOI]

Xiang Fu

Shangdi Yu

CoRR, 2019

Choosing to Grow a Graph: Modeling Network Formation as Discrete Choice.

[BibT_eX]

[DOI]

Jan Overgoor

Johan Ugander

Proceedings of the World Wide Web Conference, 2019

Link Prediction in Networks with Core-Fringe Data.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

The Local Closure Coefficient: A New Perspective On Network Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Sampling Methods for Counting Temporal Motifs.

[BibT_eX]

[DOI]

Paul Liu

Moses Charikar

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Random Spatial Network Models for Core-Periphery Structure.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Neural Jump Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graph-based Semi-Supervised & Active Learning for Edge Flows.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Network Density of States.

[BibT_eX]

[DOI]

Kun Dong

David Bindel

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Pairwise link prediction.

[BibT_eX]

[DOI]

Huda Nassar

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Simplicial closure and higher-order link prediction.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2018

Core-fringe link prediction.

[BibT_eX]

[DOI]

CoRR, 2018

A sampling framework for counting temporal motifs.

[BibT_eX]

[DOI]

Paul Liu

Moses Charikar

CoRR, 2018

Detecting Core-Periphery Structure in Spatial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Random Walks on Simplicial Complexes and the normalized Hodge Laplacian.

[BibT_eX]

[DOI]

CoRR, 2018

Tools for higher-order network analysis.

[BibT_eX]

[DOI]

CoRR, 2018

A Discrete Choice Model for Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Found Graph Data and Planted Vertex Covers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sequences of Sets.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

The Spacey Random Walk: A Stochastic Process for Higher-Order Data.

[BibT_eX]

[DOI]

Lek-Heng Lim

SIAM Rev., 2017

Higher-order clustering in networks.

[BibT_eX]

[DOI]

CoRR, 2017

Motifs in Temporal Networks.

[BibT_eX]

[DOI]

Ashwin Paranjape

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Local Higher-Order Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Improving the Numerical Stability of Fast Matrix Multiplication.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2016

Higher-order organization of complex networks.

[BibT_eX]

[DOI]

CoRR, 2016

On the Relevance of Irrelevant Alternatives.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling User Consumption Sequences.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

General Tensor Spectral Co-clustering for Higher-Order Data.

[BibT_eX]

[DOI]

Tao Wu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Silent error detection in numerical time-stepping schemes.

[BibT_eX]

[DOI]

Sven Schmit

Robert Schreiber

Int. J. High Perform. Comput. Appl., 2015

Improving the numerical stability of fast matrix multiplication algorithms.

[BibT_eX]

[DOI]

CoRR, 2015

Tensor Spectral Clustering for Partitioning Higher-order Network Structures.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A framework for practical parallel fast matrix multiplication.

[BibT_eX]

[DOI]

Grey Ballard

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2014

A Parallel Directional Fast Multipole Method.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2014

Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning multifractal structure in large networks.

[BibT_eX]

[DOI]

Carlos Riquelme

Sven Schmit

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures.

[BibT_eX]

[DOI]